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# Normalizing a histogram in Matplotlib

Programming
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Python
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Matplotlib
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Graphs Cookbook
schedule Mar 9, 2022
Last updated
local_offer PythonMatplotlib
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We can normalize a histogram in Matplotlib using the `density` keyword argument and setting it to `True`. By normalizing a histogram, the sum of the bar area equals 1.

Consider the below histogram where we normalize the data:

``` nums1 = [1,1,2,3,3,3,3,3,4,5,6,6,6,7,8,8,9,10,12,12,12,12,14,18]nums2= [10,12,13,13,14,14,15,15,15,16,17,18,20,22,23]fig,ax = plt.subplots() # Instantiate figure and axes objectax.hist(nums1, label="nums1", histtype="step", density=True) # Plot histogram of nums1ax.hist(nums2, label="nums2", histtype="step", density=True) # Plot histogram of nums2plt.legend()plt.show() ```

Normalized histogram:

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